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All Journal Techno.Com: Jurnal Teknologi Informasi Pixel : Jurnal Ilmiah Komputer Grafis SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputer Terapan CogITo Smart Journal Indonesian Journal of Artificial Intelligence and Data Mining INOVTEK Polbeng - Seri Informatika JURNAL ILMIAH INFORMATIKA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah INTECOMS: Journal of Information Technology and Computer Science MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) CSRID (Computer Science Research and Its Development Journal) JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Informatika dan Rekayasa Elektronik Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal J-PEMAS Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence JAIA - Journal of Artificial Intelligence and Applications Malcom: Indonesian Journal of Machine Learning and Computer Science SATIN - Sains dan Teknologi Informasi VISA: Journal of Vision and Ideas Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika
Rahmaddeni Rahmaddeni
STMIK Amik Riau
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

 1 
Algorithm Decission Tree C4.5 and Backpropagation Neural Network for Smarthpone Price Classification Muhammad Ridho Al Fathan; M Fadhil Arfa; Habibah Br. Lumbantobing; Rahmaddeni Rahmaddeni
Indonesian Journal of Artificial Intelligence and Data Mining Vol 5, No 2 (2022): September 2022
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v5i2.19064

Abstract

Smartphones are a necessity in this technological age. In fact, everyone has at least one smartphone, this is because of its role that can help daily activities. There are data smartphone prices from major companies from Kaggle. The data is divided into 2000 training data and 1000 test data, the price range of smartphones based on the features provided. The analysis needed is the relationship between the features of smartphone and the selling price. To get this information, data mining techniques can be used. This study uses the Decission Tree C4.5 algorithms and the Backpropagaition Neural Network algorithm for classification problems. The technique used will be compared to a better algorithm in carrying out the classification process. The classification method consists of predictor variables and one target variable. The software used to process the data is Rapid Miner software. The results of the study get the accuracy of the Backpropagation Neural Network algorithm 96.65% and the same data is also applied to the C4.5 algorithms with an accuracy of 83.75%. From the research results, it can be concluded that the backpropagation neural network algorithm is the best algorithm for smartphone price classification with accuracy 96.65%.
Comparison of Naïve Bayes Algorithm, Support Vector Machine and Decision Tree in Analyzing Public Opinion on COVID-19 Vaccination in Indonesia Rahmaddeni Rahmaddeni; Firman Akbar
Indonesian Journal of Artificial Intelligence and Data Mining Vol 6, No 1 (2023): Maret 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v6i1.19966

Abstract

The spread of COVID-19 in Indonesia has caused many negative impacts. Therefore, the government is taking vaccination measures to suppress the spread of COVID-19. Public response to vaccinations on Twitter has been mixed, with some supporting it and some not. The data for this study comes from the Twitter feed of the drone portal Emprit Academy (dea). Classification is performed using SVM, decision tree and Naive Bayes algorithm. The purpose of this study is to inform the public about whether vaccination against COVID-19 is inclined toward positive, neutral, or negative opinions. Moreover, this study compares the accuracy of the three algorithms used, namely Naive Bayes (NB), Support Vector Machine (SVM) and Decision Tree, and the validation performed using the K-Fold Cross-Validation method, AdaBoost feature selection, and the TF-IDF Transformer feature extraction test. The result obtained from this study is that the accuracy of the 90:10 data keeps improving, dividing by 82.86% on the SVM algorithm, 81.43% on the Naive Bayes and 78.57% on the decision tree.
Evaluation of Support Vector Machine, Naive Bayes, Decision Tree, and Gradient Boosting Algorithms for Sentiment Analysis on ChatGPT Twitter Dataset Salsabila Rabbani; Dea Safitri; Farida Try Puspa Siregar; Rahmaddeni Rahmaddeni; Lusiana Efrizoni
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.24662

Abstract

ChatGPT is a language model employed to produce text and engage in conversation with users. It serves as a tool for generating text and facilitating interactions in a conversational manner. The model was designed to provide relevant and useful responses based on the context of the ongoing conversation. By the increasing popularity of using ChatGPT, it makes it difficult for users to classify responses about the use of ChatGPT. Therefore, sentiment classification of ChatGPT is carried out. The dataset used is sourced from the kaggle website with a total of 20,000 data. The classification methods used in this research include Support Vector Machine (SVM), Naïve Bayes, Decision Tree, and Gradient Boosting. Through the research results, the Support Vector Machine algorithm had the highest accuracy value with 80% compared to other methods, when the data is divided by a ratio of 90:10. This research is expected to help developers and service providers to improve ChatGPT and understand user responses better.
Co-Authors -, Dedek Ispandi A, M. Nakhlah Farid Adhitya Karel Maulaya Adinda Dwi Putri Afiatuddin, Nurfadlan Agung Pratama Agustin Agustin Agustin -, Agustin Agustin Agustin Agustin, Endy Wulan Agustriono Agustriono, Agustriono Ahmad Rivaldi Aisy, Alaysha Rihadatul Aisyah Nurul Putri Akbar, Vitto Rezky Alaysha Rihadatul Aisy Aldino Evel Alfianda, Baginda Anam, M Khairul Ananta, Nita Anderson, Ranap Andi Kurnianto Andri Setiawan Anugraha, Yoga Safitra Aprilia, Fanesa Aprillian Kartino Arifin, Muhammad Amirul Aulia Putri Azfar Huzaifah Siregar Baginda Alfianda Br.Situmorang, Elisabet Sinta Romaito Bunga Nanti Pikir Cahyo, M Rizky Dwi Chandra, Deni Cikita, Putri Cindy Syaficha Hardiana Dadynata, Eric Daulay, Suandi De Pani, Raihan Dea Safitri Dedek Ispandi - Deni Chandra Denok Wulandari Devi Efriadi Devi Puspita Sari, Devi Puspita Dhini Septhya Didik Sazali Diki Daryanto Dini, Ema Djamalilleil, Said Azka Fauzan Edwar Ali Efrizoni, Lusiana Eka, Wisnu Elma Novfuja Elwinda, Masyitah Erlin Ermy Pily, Annisa Khoirala Fadila, Rahmasari Fahreza, Rino Farhan Pratama Farida Try Puspa Siregar Fazri Fazri Febrianda Putra Febrio Waleska, Rangga Firman Akbar Firman, Muhammad Aditya fitri pratiwi, fitri Fitriana Sholekhah Fransiskus Zoromi Fransiskus Zoromi Ginting, Lusiana Ginting, Steven Gusmansyah, Rafly H A Supahri Habibah Br. Lumbantobing Hadi Asnal, Hadi Hafsah Fulaila Tahiyat Hamdani Hamdani - Hanif Wira Saputra Hasnor Khotimah Hayami, Regiolina Hendra Saputra Hendrawan, Heri Herianto - Herianto Herianto Herisnan, Diva Nabila Huda, Isra Bil Ibrahim, Sang Adji Iftar Ramadhan Ihsan, Raja Muhammad Irawan, Sandra Septi Jamaris, Muhamad Jasmarizal Jasmarizal Junadhi Junadhi Jundi, Muhamad Kharisma Rahayu Khusaeri Andesa Koko Harianto Koko Harianto Koko Harianto, Koko Kurniawan, Bambang Kurniawan, Fadly Lili Marlia Luasiana Efrizoni Lusiana Efrizoni M Fadhil Arfa M. Arifin M. Azzuhri Dinata M. Irpan Mahdiawan Nurkholifah Mardainis Mardainis Mardainis Marhadi, Nanda Maryani, Lily Maulana, Fitra Michal Dennis Muhaimin, Abdi Muhammad Adji Purnama Muhammad afrizal Muhammad Bambang Firdaus Muhammad Fajri Jamil Muhammad Fikri Hidayat Muhammad Ihza Mahendra Muhammad Ridho Al Fathan nanda, afri Nanda, Annisa Nasution , Zikri Hardyan Nita Ananta Nova Indriyani Nurjayadi Nurjayadi Nurkholifah, Mahdiawan Oktavianda Pratama , Nanda Rizki Pratiwi, Elsa Eka Prianto, Robi Purnama, Muhammad Adji Putra, Febrianda Putri Utami, Putri Putri, Adinda Dwi Putri, Daffina Zahro R Ismanizan Rahmi Rahmi Raja Muhammad Ihsan Ramadhani, Jilang Rapindra Septia Rashid, Rashid Ratna Andini Husen Refni Wahyuni Renaldi, Reno Rinaldi Rinaldi Rini Yanti Rino Fahreza Risky Harahap Risman Risman Rizki Astuti Rizky Rahman Salam Rohana Yola Parastika Hutasoit Rohid Rometdo Muzawi, Rometdo Safitri, Dea Sahelvi, Elza Salman, Muhammad Dzaki Salsabila Rabbani Sapina, Nur Sapitri, Riska Mela Saputra, Haris Tri Saputra, Ilham Saputra, Juliandri Saputra, Pingki Ans Satria, Riyan Sazali, Didik Septhya, Dhini Septia, Rapindra Setiawan , Andri Setiawan, Ahmad Agung Sholekhah, Fitriana Sinaga, Leonardo Singgih - Widiantoro Siregar, Azfar Huzaifah Soni Suandi Daulay Suhada, Khairus Sukri Adrianto Supian, Acuan Susandri, Susandri SUSANTI Susanti, Susanti Sutisna Sutisna Syahrul Imardi Syarifuddin Elmi T. Sy. Eiva Fatdha Tahiyat, Hafsah Fulaila Taupik Hidayat, Taupik Tri Revaldo, Bagus Triyani Arita Fitri Ulfa, Arvan Izzatul Ulfah, Aniq Noviciate Umar, Yusran Unang Rio Uthami, Kurnia Vindi Fitria wahyu, haditya Wahyudi, Gustri Romi Wicaksono, M Teguh Wicaksono, M. Teguh Widia Ningsih Widia Ningsih, Widia Wirta Agustin Wirta Agustin Wulandari, Denok Yansyah Saputra Wijaya Yesaya Twin Situmorang Yoyon Efendi Yuda Irawan Yulia Fatma Yusran Umar Yusril Ibrahim zairi saputra Zalianti, Fenisya Zega, Wilman Zikri Hadryan nst Zuriatul Khairi Zuriatul Khairi